Triple
T16599589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiser Family Foundation |
E403296
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object |
KFF
KFF is a nonprofit organization focused on health policy analysis, health journalism, and public opinion research in the United States.
|
E1222627
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KFF | Statement: [Kaiser Family Foundation, brandName, KFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFF Context triple: [Kaiser Family Foundation, brandName, KFF]
-
A.
KFFO
KFFO is the ICAO airport code for Wright-Patterson Air Force Base, a major U.S. Air Force installation near Dayton, Ohio.
-
B.
FFK
FFK is a Norwegian football club based in Fredrikstad, known for its rich history and multiple national titles.
-
C.
FFK
FFK is the football association responsible for organizing and overseeing the national football activities and competitions in Curaçao.
-
D.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
E.
CHFFA
CHFFA is the acronym for the California Health Facilities Financing Authority, a state agency that provides financing to nonprofit and public health care institutions in California.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KFF Triple: [Kaiser Family Foundation, brandName, KFF]
Generated description
KFF is a nonprofit organization focused on health policy analysis, health journalism, and public opinion research in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KFF Target entity description: KFF is a nonprofit organization focused on health policy analysis, health journalism, and public opinion research in the United States.
-
A.
KFFO
KFFO is the ICAO airport code for Wright-Patterson Air Force Base, a major U.S. Air Force installation near Dayton, Ohio.
-
B.
FFK
FFK is a Norwegian football club based in Fredrikstad, known for its rich history and multiple national titles.
-
C.
FFK
FFK is the football association responsible for organizing and overseeing the national football activities and competitions in Curaçao.
-
D.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
E.
CHFFA
CHFFA is the acronym for the California Health Facilities Financing Authority, a state agency that provides financing to nonprofit and public health care institutions in California.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d75772c8190b02aef02ea6788e1 |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a226788190bfad73ffb6b32ec4 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a00762ce9a881908b41b610c3f14780 |
completed | May 10, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:16 a.m.